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Matt Wood Elite Prospects ↗

Position: Forward DOB: 2000-08-31 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  Solid blue = age-adjusted NCAAe-PPG  ·  Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2017-18 Philadelphia Jr. Flyers EHLP 44 28 32 60 1.364 0.1564 0.1654 0.3074 0.3251
2018-19 Philadelphia Jr. Flyers EHL 6 0 0 0 0.000
2019-20 Richmond Generals USPHL-Premier 44 35 31 66 1.500 0.1962 0.1962 0.5091 0.5091
2020-21 Richmond Generals USPHL-Premier 44 24 38 62 1.409 0.1843 0.1843 0.4782 0.4782
Blue = NCAAe (D1 anchor)   Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2024-25 Utica D3 UCHC SR 30 9 22 31 1.033
2023-24 Utica D3 UCHC JR 28 12 17 29 1.036
2022-23 Utica D3 UCHC SO 22 7 10 17 0.773
2021-22 Utica D3 UCHC FR 11 2 5 7 0.636
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
Actual FR PPG
0.64
2021-22 · Utica
+328.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D2/D3
0%
Club / ACHA
95%
Other

NCAAe Rankings

#8089
Forward overall
#340
Forward born in 2000

D1 Comparables

NTDP-U18 · 2012-13 · 0.20 PPG
→ Notre Dame (0.34 D1 FR PPG)
0.15 Developing
NCAAe PPG
USHL · 2012-13 · 0.27 PPG
→ Northeastern (0.14 D1 FR PPG)
0.17 Developing
NCAAe PPG
NTDP-U18 · 2012-13 · 0.17 PPG
→ American International (0.64 D1 FR PPG)
0.13 Strong
NCAAe PPG
USHL · 2012-13 · 0.25 PPG
→ Niagara
0.16 No data
NCAAe PPG
USHL · 2012-13 · 0.39 PPG
→ Michigan Tech (0.59 D1 FR PPG)
0.24 Strong
NCAAe PPG

D2/3 Comparables

Neumann · 2002-03
0.500 Average
actual D2/3 PPG
Concordia · 2014-15
0.250 Developing
actual D2/3 PPG
Plymouth State · 2005-06
0.960 Strong
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.